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Computer programming • oakland ca
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Research Engineer - Computer Vision ML
SesameSan Francisco, CA, USserp_jobs.job_card.full_time
Head of Computer Vision
RainesDevSan Francisco, CA, USjob_description.job_card.variable_days_ago
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job_description.job_card.job_description7+ years of experience in computer vision and machine learning, with at least 3 years in a high-growth startup or leading projects at a top-tier tech company. Proven track record of taking ML / CV projects from initial concept to production with measurable business impact. Strong background in video analysis, object detection, and tracking in production environments. Hands-on experience with CV frameworks such as PyTorch , TensorFlow , and OpenCV . Expertise in edge computing, hardware / software integration, and scaling video analytics solutions. Advanced degree (M.S. / Ph.D.) in Computer Science, Electrical Engineering, or related field. Published work in leading CV / ML conferences (CVPR, ICCV, NeurIPS) or significant patents in the field. Applications of CV in autonomous systems, robotics, or applied AI fields. Building unique, large-scale labeled datasets and leveraging them for competitive advantage. Leading multi-disciplinary teams that bridge the gap between research and field deployment. Equally comfortable in the weeds coding and at the whiteboard setting strategic direction. Driven by real-world impact, especially in industries where technology adoption is accelerating. Operate with first-principles thinking and bring humility, curiosity, and a bias for action. Excited to work hands-on in the lab and on-site to see your technology in action.
Job Description
Job Description
Head of Computer Vision
Location : San Francisco Bay Area (On-Site, 5 Days a Week)
Overview
We’re seeking an accomplished Head of Computer Vision to lead the development and deployment of next-generation video analytics systems that will transform how work is measured and optimized in complex, large-scale environments. You will guide technical strategy, manage research-to-production pipelines, and work hands-on to deliver breakthrough capabilities in automated video labeling, object tracking, and real-time analytics.
This role offers the rare opportunity to build and scale the entire computer vision function at a fast-growing company, working at the intersection of hardware, AI, and real-world impact. You will collaborate closely with cross-functional teams, from hardware engineers to data scientists, to deploy systems that integrate seamlessly with purpose-built devices in the field.
Key Responsibilities
- Technical Leadership – Define and execute the computer vision roadmap, from research to large-scale production deployment.
- Model Development – Architect and optimize models for video processing, object detection, and activity recognition, ensuring robustness in real-world conditions.
- Pipeline & Infrastructure – Oversee design and scaling of ML pipelines, including edge computing and integration with proprietary hardware.
- Product Integration – Work with product and hardware teams to align CV capabilities with end-user requirements and operational goals.
- Team Building – Recruit, mentor, and grow a high-performing computer vision engineering team.
- Innovation & Research – Keep the organization at the forefront of CV advancements, publishing and patenting as opportunities arise.
Requirements Qualifications
Preferred Experience
Who You Are
Benefits
Full Benefits